11.Eigenvalues and Eigenvectors | Concept & Working Rule | Engineering Mathematics M1 Unit-II

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Welcome to Unit–II of Engineering Mathematics – M1 (JNTUH R22 Syllabus) 🎓
In this video, we introduce one of the most important linear algebra topics — Eigenvalues and Eigenvectors. We also explain their working rule with simple examples to help you understand the concept easily.

📌 In this video, you will learn:

✅ What are Eigenvalues and Eigenvectors?

✅ Step-by-step working rule to find them

✅ Importance of Eigenvalues in engineering applications

✅ Relationship between a matrix and its characteristic equation

✅ Concept clarity through solved examples

💡 Why this topic is important:
Eigenvalues and Eigenvectors are used in various fields like data science, vibration analysis, image processing, and structural engineering — making them a vital part of your Mathematics–1 syllabus and exam preparation.

This video is part of our M1 Complete Course, where you get:

📖 Full video lectures for all 5 units

📝 Notes + Important Questions

🎥 Online sessions for doubt clarification

💬 Doubt-solving support through chat box

📱 Access the entire course on our mobile application

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Stay tuned for the next video, where we’ll solve problems on Eigenvalues and Eigenvectors to strengthen your understanding for exams.